A central goal in quantum error correction is to reduce the overhead of fault-tolerant
quantum computing by increasing noise thresholds and reducing the number of physical …

To successfully execute large-scale algorithms, a quantum computer will need to perform its
elementary operations near perfectly. This is a fundamental challenge since all physical …

Fabrication errors pose a significant challenge in scaling up solid-state quantum devices to
the sizes required for fault-tolerant (FT) quantum applications. To mitigate the resource …

To make practical quantum algorithms work, large-scale quantum processors protected by
error-correcting codes are required to resist noise and ensure reliable computational …

Recently, usage of detecting regions facilitated the discovery of new circuits for fault-
tolerantly implementing the surface code. Building on these ideas, we present LUCI, a …

Floquet codes are an intriguing generalisation of stabiliser and subsystem codes, which can
provide good fault-tolerant characteristics while benefiting from reduced connectivity …

One of the critical challenges solid-state quantum processors face is the presence of
fabrication imperfections and two-level systems, which render certain qubits and gates either …

The development of practical, high-performance decoding algorithms reduces the resource
cost of fault-tolerant quantum computing. Here we propose a decoder for the surface code …

Fabrication errors on qubits can render data and syndrome qubits faulty, impacting quantum-
processor reliability. Our proposed method focuses on the recovery of faulty syndrome …

Reaching useful fault-tolerant quantum computation relies on successfully implementing
quantum error correction (QEC). In QEC, quantum gates and measurements are performed …